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Our latest news and articles about physics and bio inspired computing, cryptography, future technologies, innovations, curated from our team, updated daily. Make sure to visit our page periodically for the latest updates.

Physics Inspired Computation — Solving Constraint Satisfaction Problems with Physics

Computationally challenging optimisation problems have always been of special interest by various researchers around the globe. This is primarily due to them often having a very high dimensional search space, or having highly complex and non-linear objective functions at their co…

Using Bio-Inspired Computing to Efficiently Solving SAT Problems

With Moore’s law coming to an end, and, with it, the digital age, alternative novel computing systems have to be explored. Physical systems and processes, just like biological ones, can inspire the design of computer algorithms. Early ideas The ideas behind biological computing trace back to 1936 an…

Is diversity the key to collaboration? New AI research suggests so

As artificial intelligence gets better at performing tasks once solely in the hands of humans, like driving cars, many see teaming intelligence as a next frontier. In this future, humans and AI are true partners in high-stakes jobs, such as performing complex surgery or defending from missiles. But …

In bias we trust?

When the stakes are high, machine-learning models are sometimes used to aid human decision-makers. For instance, a model could predict which law school applicants are most likely to pass the bar exam to help an admissions officer determine which students should be accepted. These models often have m…

Inaugural Day of AI brings new digital literacy to classrooms worldwide

The first annual Day of AI on Friday, May 13 introduced artificial intelligence literacy to classrooms all over the world. An initiative of MIT Responsible AI for Social Empowerment and Education (RAISE), Day of AI is an opportunity for teachers to introduce K-12 students of all backgrounds to artif…

Hallucinating to better text translation

As babies, we babble and imitate our way to learning languages. We don’t start off reading raw text, which requires fundamental knowledge and understanding about the world, as well as the advanced ability to interpret and infer descriptions and relationships. Rather, humans begin our language journe…

Collin Stultz named co-director and MIT lead of the Harvard-MIT Program in Health Sciences and Technology

Collin M. Stultz, the Nina T. and Robert H. Rubin Professor in Medical Engineering and Science at MIT, has been named co-director of the Harvard-MIT Program in Health Sciences and Technology (HST), and associate director of MIT’s Institute for Medical Engineering and Science (IMES), effective June 1…

Student-powered machine learning

From their early days at MIT, and even before, Emma Liu ’22, MNG ’22, Yo-whan “John” Kim ’22, MNG ’22, and Clemente Ocejo ’21, MNG ’22 knew they wanted to perform computational research and explore artificial intelligence and machine learning. “Since high school, …

Engineers build LEGO-like artificial intelligence chip

Imagine a more sustainable future, where cellphones, smartwatches, and other wearable devices don’t have to be shelved or discarded for a newer model. Instead, they could be upgraded with the latest sensors and processors that would snap onto a device’s internal chip — like LEGO bricks incorporated …

Artificial neural networks model face processing in autism

Many of us easily recognize emotions expressed in others’ faces. A smile may mean happiness, while a frown may indicate anger. Autistic people often have a more difficult time with this task. It’s unclear why. But new research, published June 15 in The Journal of Neuroscience, sheds light on the inn…

Seeing the whole from some of the parts

Upon looking at photographs and drawing on their past experiences, humans can often perceive depth in pictures that are, themselves, perfectly flat. However, getting computers to do the same thing has proved quite challenging. The problem is difficult for several reasons, one being that information …

Researchers release open-source photorealistic simulator for autonomous driving

Hyper-realistic virtual worlds have been heralded as the best driving schools for autonomous vehicles (AVs), since they’ve proven fruitful test beds for safely trying out dangerous driving scenarios. Tesla, Waymo, and other self-driving companies all rely heavily on data to enable expensive and prop…

Robots play with play dough

The inner child in many of us feels an overwhelming sense of joy when stumbling across a pile of the fluorescent, rubbery mixture of water, salt, and flour that put goo on the map: play dough. (Even if this happens rarely in adulthood.) While manipulating play dough is fun and easy for 2-year-olds, …

Taking the guesswork out of dental care with artificial intelligence

When you picture a hospital radiologist, you might think of a specialist who sits in a dark room and spends hours poring over X-rays to make diagnoses. Contrast that with your dentist, who in addition to interpreting X-rays must also perform surgery, manage staff, communicate with patients, and run …

Exploring emerging topics in artificial intelligence policy

Members of the public sector, private sector, and academia convened for the second AI Policy Forum Symposium last month to explore critical directions and questions posed by artificial intelligence in our economies and societies. The virtual event, hosted by the AI Policy Forum (AIPF) — an undertaki…

Building explainability into the components of machine-learning models

Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model contribute to its prediction. For example, if a model predicts a patient’s risk of developing cardiac disease, a physician might want to know how strongly the p…

Startup lets doctors classify skin conditions with the snap of a picture

At the age of 22, when Susan Conover wanted to get a strange-looking mole checked out, she was told it would take three months to see a dermatologist. When the mole was finally removed and biopsied, doctors determined it was cancerous. At the time, no one could be sure the cancer hadn’t spread to ot…

Smart textiles sense how their users are moving

Using a novel fabrication process, MIT researchers have produced smart textiles that snugly conform to the body so they can sense the wearer’s posture and motions. By incorporating a special type of plastic yarn and using heat to slightly melt it — a process called thermoforming — the researchers we…

Artificial intelligence model finds potential drug molecules a thousand times faster

The entirety of the known universe is teeming with an infinite number of molecules. But what fraction of these molecules have potential drug-like traits that can be used to develop life-saving drug treatments? Millions? Billions? Trillions? The answer: novemdecillion, or 1060. This gargantuan number…

Teaching AI to ask clinical questions

Physicians often query a patient’s electronic health record for information that helps them make treatment decisions, but the cumbersome nature of these records hampers the process. Research has shown that even when a doctor has been trained to use an electronic health record (EHR), finding an answe…

A technique to improve both fairness and accuracy in artificial intelligence

For workers who use machine-learning models to help them make decisions, knowing when to trust a model’s predictions is not always an easy task, especially since these models are often so complex that their inner workings remain a mystery. Users sometimes employ a technique, known as selective regre…

Explained: How to tell if artificial intelligence is working the way we want it to

About a decade ago, deep-learning models started achieving superhuman results on all sorts of tasks, from beating world-champion board game players to outperforming doctors at diagnosing breast cancer. These powerful deep-learning models are usually based on artificial neural networks, which were fi…

New hardware offers faster computation for artificial intelligence, with much less energy

As scientists push the boundaries of machine learning, the amount of time, energy, and money required to train increasingly complex neural network models is skyrocketing. A new area of artificial intelligence called analog deep learning promises faster computation with a fraction of the energy usage…

Using artificial intelligence to control digital manufacturing

Scientists and engineers are constantly developing new materials with unique properties that can be used for 3D printing, but figuring out how to print with these materials can be a complex, costly conundrum. Often, an expert operator must use manual trial-and-error — possibly making thousands of pr…

Why it’s a problem that pulse oximeters don’t work as well on patients of color

Pulse oximetry is a noninvasive test that measures the oxygen saturation level in a patient’s blood, and it has become an important tool for monitoring many patients, including those with Covid-19. But new research links faulty readings from pulse oximeters with racial disparities in health outcomes…

New algorithm aces university math course questions

Multivariable calculus, differential equations, linear algebra — topics that many MIT students can ace without breaking a sweat — have consistently stumped machine learning models. The best models have only been able to answer elementary or high school-level math questions, and they don’t always fin…

Stanford AI Lab Papers at ICCV 2021

The International Conference on Computer Vision (ICCV 2021) will be hosted virtually next week. We’re excited to share all the work from SAIL that will be presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about th…

Selective Classification Can Magnify Disparities Across Groups

Selective classification, where models are allowed to “abstain” when they are uncertain about a prediction, is a useful approach for deploying models in settings where errors are costly. For example, in medicine, model errors can have life-or-death ramifications, but abstentions can be easily handle…

Stanford AI Lab Papers at EMNLP/CoNLL 2021

The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) will take place next week, colocated with CoNLL 2021. We’re excited to share all the work from SAIL that will be presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the cont…

Stanford AI Lab Papers at CoRL 2021

The Conference on Robot Learning (CoRL 2021) will take place next week. We’re excited to share all the work from SAIL that will be presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening …

Stanford AI Lab Papers and Talks at NeurIPS 2021

The thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) 2021 is being hosted virtually from Dec 6th – 14th. We’re excited to share all the work from SAIL that’s being presented at the main conference, at the Datasets and Benchmarks track and the various workshops, and yo…

BanditPAM: Almost Linear-Time k-medoids Clustering via Multi-Armed Bandits

TL;DR Want something better than (k)-means? Our state-of-the-art (k)-medoids algorithm from NeurIPS, BanditPAM, is now publicly available! (texttt{pip install banditpam}) and you’re good to go! Like the (k)-means problem, the (k)-medoids problem is a clustering problem in which our objective i…

Reward Isn’t Free: Supervising Robot Learning with Language and Video from the Web

This work was conducted as part of SAIL and CRFM. Deep learning has enabled improvements in the capabilities of robots on a range of problems such as grasping 1 and locomotion 2 in recent years. However, building the quintessential home robot that can perform a range of interactive tasks, from cooki…

How to Improve User Experience (and Behavior): Three Papers from Stanford’s Alexa Prize Team

Introduction In 2019, Stanford entered the Alexa Prize Socialbot Grand Challenge 3 for the first time, with its bot Chirpy Cardinal, which went on to win 2nd place in the competition. In our previous post, we discussed the technical structure of our socialbot and how developers can use our open-sour…

Stanford AI Lab Papers and Talks at AAAI 2022

The 36th AAAI Conference on Artificial Intelligence (AAAI 2022) is being hosted virtually from February 22th – March 1st. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors…

Understanding Deep Learning Algorithms that Leverage Unlabeled Data, Part 1: Self-training

Deep models require a lot of training examples, but labeled data is difficult to obtain. This motivates an important line of research on leveraging unlabeled data, which is often more readily available. For example, large quantities of unlabeled image data can be obtained by crawling the web, wherea…

Grading Complex Interactive Coding Programs with Reinforcement Learning

[Summary] tl;dr: A tremendous amount of effort has been poured into training AI algorithms to competitively play games that computers have traditionally had trouble with, such as the retro games published by Atari, Go, DotA, and StarCraft II. The practical machine learning knowledge accumulated in d…

Discovering the systematic errors made by machine learning models

Discovering systematic errors with cross-modal embeddings In this blog post, we introduce Domino, a new approach for discovering systematic errors made by machine learning models. We also discuss a framework for quantitatively evaluating methods like Domino. Links: 📄 Paper (ICLR 2022) 🌍 Longer Walkt…

Stanford AI Lab Papers and Talks at ICLR 2022

The International Conference on Learning Representations (ICLR) 2022 is being hosted virtually from April 25th – April 29th. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact auth…

Stanford AI Lab Papers and Talks at ACL 2022

The 60th Annual Meeting of the Association for Computational Linguistics (ACL) 2022 is taking place May 22nd – May 27th. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors …

LinkBERT: Improving Language Model Training with Document Link

Language Model Pretraining Language models (LMs), like BERT 1 and the GPT series 2, achieve remarkable performance on many natural language processing (NLP) tasks. They are now the foundation of today’s NLP systems. 3 These models serve important roles in products and tools that we use every day, su…

14 Hidden Python Features for Beginners (Part- 1)

😊Here are some lesser-known but useful features of the Python for everyday use. 🐍 1. Merge Dictionaries >>> d1 = {“a”:1, “b”: 2}>>> d2 = {“c”:3, “d”:4}>>> dict(d1, **d2){’a’: 1, ‘b’: 2, ‘c’: 3, ‘d’: 4}>&g…

Bitcoin P2PKH Transaction Breakdown

The goal of this post is to give a thorough introduction to the most common type of Bitcoin transactions, Pay-to-Public-Key-Hash (P2PKH). To achieve this, the following is presented: A succinct overview of the concept of an unspent transaction output (UTXO) and how a transaction is formedA breakdown…

The World’s Most Pitiful Mining Rig

Originally written in January 2018 and reposted here. This was my first ever hardware build of any kind and was a great learning experience. Purpose Last year I considered mining but felt like it was “too late”. I deeply regret that decision and this past month I decided to rectify my mistake. I hav…

What data science is all about ??

What data science is all about ?? Data science is a buzz word these days. More and more people are making or planning to make a career switch to data science. Many institutes have mushroomed who claim to be the best and have fancy curriculum covering variety of algorithms. Some have taken it a step …

Machine Learning for Sales Forecast

Sales Forecasting is about estimating the sales that are yet to happen. Accurate sales forecast are essential for the success of any business. When done correctly, sales forecast can be used as an input to optimize several other business functions like manufacturing, inventory, supply chain, finance…

Understanding the Bitcoin Blockchain Header

The composition of the block header is an intricate and highly consequential process. If Bitcoin is a living, breathing organism, then the block header is the heart of the entire machine. The “block” in the Bitcoin blockchain is what moves and settles millions of dollars of value every 10 minutes an…

How I Keep Up with the Latest Innovations in AI and ML

Breaking down my reading list of what’s new in the AI world Image by Free-Photos from Pixabay The field of Machine Learning and Artificial Intelligence is changing rapidly. Five years ago, classical Machine Learning was the hottest trend; now it’s just like an iPhone 6S — outdated. Deep Learning dom…

Part 1: Taproot & Schnorr and its Impact on Mining

This is the first part of a two part blog post. Part 1 provides an overview of Bitcoin’s current signature scheme, an overview of Schnorr and Taproot, and an analysis of these upgrades from a miner’s perspective. Part 2 is a breakdown from a technical perspective so a reader can understand what this…

Part 2: Bitcoin P2TR Transaction Breakdown

This is the second part of a two part blog post. Part 1 gives an overview of Bitcoin’s current signature scheme, an overview of Schnorr and Taproot, and an analysis of these upgrades from a miner’s perspective. Part 2 is a breakdown from a technical perspective so a reader can understand what this a…

How the AI in Tactical Troops: Anthracite Shift handled teleportation mechanic

Tactical Troops: Anthracite Shift is a top-down, turn-based game that mixes tactical skills and the excitement of 80’s sci-fi movies. Created by QED Games Team of QED Software, it features many mechanics posing a great challenge for AI controlled characters, such as gridless movement and the topic o…

The Metric System: How to Correctly Measure Your Model

The deep dive into the world of model assessment metrics that you didn’t know you needed to know — until now The code used to generate the graphs and the KS Area Between Curves computation in this post is available as part of the dython library Image by lloorraa from Pixabay Here’s a classic scenari…

Can AI be easy as ABC?

Can AI be easy as ABC? Parents-developers explain Do you remember the infamous question: “So what do your parents do at work?”. If someone were to ask your children what their parents do at work, do you know what their answer will be? The area of artificial intelligence is generally difficult to def…

Nature-Inspired Algorithms

source: own work based on Todd Huffman from Phoenix, AZ, CC BY 2.0 <https://creativecommons.org/licenses/by/2.0>, via Wikimedia Commons by Maciej Świechowski “Look deep into nature, and then you will understand everything better” — Albert Einstein Since ancient times, nature has been serving a…

6 Papers Every Modern Data Scientist Must Read

A list of some of the most important modern fundamentals of Deep Learning everyone in the field show be familiar with Photo by 🇸🇮 Janko Ferlič on Unsplash Data Scientist, Machine Learning Expert, Algorithm Engineer, Deep Learning Researcher — whatever your title might be, if using advanced concepts …